Computationally efficient predictive control of grid-tied three-level NPC active-front-ends: A CPS based solution

A cyber-physical system (CPS) approach for branch and bound algorithm based direct model predictive control (BnB-DMPC) for grid-tied Active Front End (AFE) power converters is proposed in this work. The proposed control strategy deals with both the physical states and a cyber state, i.e. the sampling frequency. With the help of cyber controller, the cyber resource and sampling rate are regulated based on the performance of the physical systems and the reference cyber state. The proposed control scheme provides a computationally efficient predictive control alternative. Additionally, the proposed CPS based BnB-MPC controller achieves better performances in comparison with the recently reported branch-and-bound predictive control solution, which is validated with simulation data.